Topic: Growth

Topic Description:

Functions for analyzing tree growth, designed for the standard CTFS R Analytical Tables.

File: growth/growthfit.bin.r
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Function: calculateBinModel.AIC

Function Description: calculateBinModel.AIC

Calculate AIC of the model, using various log(likelihood) estimators: with optim, the highest likelihood found by optim with mean, the mean llikelihood from the Gibbs sampler with gibbs, the maximum llikelihood from the Gibbs sampler with none, just return the mean Gibbs likelihood

Function Arguments:

ArgumentDefault Value
fit
type'optim'

Function Source:

calculateBinModel.AIC=function(fit,type='optim')
{
noparam=length(fit$best)+length(fit$bestSD)
if(type=='optim') return(fit$optimllike-2*noparam)
if(type=='mean') return(mean(fit$llike[fit$keep])-2*noparam)
if(type=='max') return(max(fit$llike[fit$keep])-2*noparam)
if(type=='none') return(max(fit$llike[fit$keep]))

return(NA)
}